ArticleMagnetic resonance in medicine2019
Novel insights into in-vivo diffusion tensor cardiovascular magnetic resonance using computational modeling and a histology-based virtual microstructure.
Article in Magnetic resonance in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Accelerated, Physics-Inspired Inference of Skeletal Muscle Microstructure From Diffusion-Weighted MRI.IEEE transactions on medical imaging · 2024Article
- Realistic numerical simulations of diffusion tensor cardiovascular magnetic resonance: The effects of perfusion and membrane permeability.Magnetic resonance in medicine · 2023Article
- Development of a cardiovascular magnetic resonance-compatible large animal isolated heart model for direct comparison of beating and arrested hearts.NMR in biomedicine · 2022Article
- Random walk diffusion simulations in semi-permeable layered media with varying diffusivity.Scientific reports · 2022Article
- Cardiac Diffusion Tensor Biomarkers of Chronic Infarction Based on In Vivo Data.Applied sciences (Basel, Switzerland) · 2022Article
- Fundamentals of turbulent flow spectrum imaging.Magnetic resonance in medicine · 2022Article
- Magnetic Resonance-Based Characterization of Myocardial Architecture.Heart failure clinics · 2021Review
- Diffusion tensor cardiovascular magnetic resonance in hypertrophic cardiomyopathy: a comparison of motion-compensated spin echo and stimulated echo techniques.Magma (New York, N.Y.) · 2020Article
- Novel insights into in-vivo diffusion tensor cardiovascular magnetic resonance using computational modeling and a histology-based virtual microstructure.Magnetic resonance in medicine · 2019Article
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Authors and funding
6 authors.
Funding
Abstract
purposeTo develop histology-informed simulations of diffusion tensor cardiovascular magnetic resonance (DT-CMR) for typical in-vivo pulse sequences and determine their sensitivity to changes in extra-cellular space (ECS) and other microstructural parameters.
methodsWe synthesised the DT-CMR signal from Monte Carlo random walk simulations. The virtual tissue was based on porcine histology. The cells were thickened and then shrunk to modify ECS. We also created idealised geometries using cuboids in regular arrangement, matching the extra-cellular volume fraction (ECV) of 16-40%. The simulated voxel size was 2.8 × 2.8 × 8.0 mm
resultsThe primary diffusion tensor eigenvalue increases linearly with ECV at a similar rate for all simulated geometries. Mean diffusivity (MD) varies linearly, too, but is higher for the substrates with more uniformly distributed ECS. Fractional anisotropy (FA) for the histology-based geometry is higher than the idealised geometry with low sensitivity to ECV, except for the long mixing time of the STEAM sequence. Varying the intra-cellular diffusivity (D
conclusionsWe found that the distribution of ECS has a measurable impact on DT-CMR parameters. The observed sensitivity of MD and FA to ECV and D
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